Tucano
Local multi-agent coding and review workspace for Mac, Windows and Linux teams
About
Tucano brings a collaborative AI agent workspace to developers and technical teams directly on their own Mac, Windows, or Linux computers. The platform assembles multiple AI agents—using models like Claude Code, Codex, Gemini, and more—into grouped channels where each agent can be assigned specific roles and permissions based on team and project needs.
These agents communicate, write code, review each other's contributions, and interact with development tools as defined by the user. Their routines can be scheduled in advance, with clear reporting and approval checkpoints that keep human oversight at key points. Anything that requires interaction with external systems or the 'real world' always waits for explicit approval, ensuring control and safety.
Tucano is free and open source. It runs locally or in isolated, sandboxed environments to protect your files and integrate securely with your workflows. Flexible memory and routines capture your team's working habits and enable repeatable automation, while every agent action comes with receipts and granular usage controls. The tool is especially suited to teams who want the benefits of multi-agent collaboration without handing off security or privacy to cloudy third-party services.
Who is Tucano made for?
Tucano is designed for software developers and technical team leads who need multi-agent automation directly integrated with their existing development workflows, on their own computers or internal infrastructure.
It's especially suitable for small teams, startups, or individual developers who want to accelerate code writing, code review, and testing by distributing these tasks among specialized AI agents without compromising their local security. Product managers with technical oversight may also use it to monitor agent activity and ensure adherence to development guidelines.
Companies valuing privacy or requiring custom tool integrations, such as SaaS startups, internal product teams, or organizations handling sensitive code, would benefit from keeping all operations local and tightly controlled.
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